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  2. MR Data Challenge 2019 | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/mr-raps-markdown/
    3 Jun 2024: Search. MR Data Challenge 2019. The role of lipoprotein subfractions in coronary artery disease. Abstract. This report entered the 2019 MR Data Challenge and contains reproducible R code for our analysis. Date. 2019-07-19. Event. Mendelian
  3. Randomization (project page) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/project/randomization/
    3 Jun 2024: Search. Randomization (project page). 2022-04-22. A related page isRelated. Publications. Selective Randomization Inference for Adaptive Experiments. We apply ideas from post-selection inference to randomization tests for adaptive experiments.
  4. Graphical diagnosis of confounding bias in instrumental variables…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-diagnosis/
    3 Jun 2024: Search. Graphical diagnosis of confounding bias in instrumental variables analysis. Qingyuan Zhao, Dylan Small. May 2018Abstract. This research letter proposes a new diagnostic plot for IV analysis, so large bias ratios (compared to OLS estimator)
  5. Improving the accuracy of two-sample summary data Mendelian…

    https://www.statslab.cam.ac.uk/~qz280/publication/beyond-nome/
    3 Jun 2024: Search. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. Jack Bowden, Fabiola Del Greco M, Cosetta Minelli, Debbie Lawlor, Qingyuan Zhao, Nuala Sheehan, John Thompson, George Davey Smith.
  6. Randomized Experiment | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/randomized-experiment/
    3 Jun 2024: Search. Randomized Experiment. A unified analysis of regression adjustment in randomized experiments. Regression adjustment is broadly applied in randomized trials under the premise that it usually improves the precision of a treatment effect
  7. Using sparsity to overcome unmeasured confounding: Two examples |…

    https://www.statslab.cam.ac.uk/~qz280/talk/mrc-bsu-2019/
    3 Jun 2024: Search. Using sparsity to overcome unmeasured confounding: Two examples. Abstract. Sparsity is often used to improve the interpretability of a statistical analysis and/or reduce the variance of a statistical estimator. This talk will explore another
  8. Effect Modification | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/effect-modification/
    3 Jun 2024: Search. Effect Modification. Selecting and ranking individualized treatment rules with unmeasured confounding. Optimal individualized treatment rules try to assign the best treatment to every individual, but it may be very sensitive to unmeasured
  9. Mendelian randomization: Old and new insights | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/penn-biostat-2021/
    3 Jun 2024: Search. Mendelian randomization: Old and new insights. Abstract. Mendelian randomization (MR) is a method for causal inference that utilizes the natural experiment in genetic inheritance. The idea of MR can be traced back to the dawn of modern
  10. Almost exact Mendelian randomization | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/almost-exact-mr/
    3 Jun 2024: Search. Almost exact Mendelian randomization. Matt Tudball, George Davey Smith, Qingyuan Zhao. August 2022Type. 2024. Powered by the Academic theme forCite.
  11. Entropy balancing is doubly robust | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/publication/entropy-balancing/
    3 Jun 2024: Search. Entropy balancing is doubly robust. Qingyuan Zhao, Daniel Percival. January 2015Abstract. We show a recently proposed method called Entropy Balancing is doubly robust, that is the causal effect estimator is consistent if the propensity score
  12. Sensitivity analysis for inverse probability weighting estimators via …

    https://www.statslab.cam.ac.uk/~qz280/publication/sensitivity-ipw/
    3 Jun 2024: Search. Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. Qingyuan Zhao, Dylan Small, Bhaswar Bhattarcharya. November 2017Abstract. Rosenbaum’s sensitivity analysis framework has several limitations: 1.
  13. Falsification tests for instrumental variable designs with an…

    https://www.statslab.cam.ac.uk/~qz280/publication/iv-falsification/
    3 Jun 2024: Search. Falsification tests for instrumental variable designs with an application to tendency to operate. Luke Keele, Qingyuan Zhao, Rachel Kelz, Dylan Small. August 2018Abstract. We propose a falsification test for the IV assumptions using
  14. Two-sample instrumental variable analyses using heterogeneous samples …

    https://www.statslab.cam.ac.uk/~qz280/publication/two-sample-iv/
    3 Jun 2024: Search. Two-sample instrumental variable analyses using heterogeneous samples. Qingyuan Zhao, Jingshu Wang, Wes Spiller, Jack Bowden, Dylan Small. August 2017Abstract. Many modern IV studies (especially Mendelian Randomization) are carried out with
  15. On sensitivity value of pair-matched observational studies | Qingyuan …

    https://www.statslab.cam.ac.uk/~qz280/publication/sensitivity-value/
    3 Jun 2024: Search. On sensitivity value of pair-matched observational studies. February 2017Abstract. A crucial quantity in Rosenbaum’s sensitivity analysis is the ‘sensitivity value’, the amount of unmeasured confounding needed to alter the qualitative
  16. Talks | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/talk/
    3 Jun 2024: Search. Talks. 2024. Design: The Elusive Principle of Statistics. 2024-03-07 1:00 PM — 2:00 PM University of Oxford. 2024-02-13 2:00 PM — 3:00 PM University of East Anglia. 2024-02-08 2:00 PM — 3:00 PM London School of Economics and Political
  17. How infectious was COVID-19 when it first circulated in Wuhan? |…

    https://www.statslab.cam.ac.uk/~qz280/talk/corpus-masterclass-2022/
    3 Jun 2024: Search. How infectious was COVID-19 when it first circulated in Wuhan? Abstract. This is given to A-level students. Date. 2022-03-24 2:00 PM — 2:45 PM. Location. Corpus Christi College Masterclass in Mathematics. 2024. Powered by the Academic
  18. Statistical Modelling (Part II, Michaelmas 2022) | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/teaching/modelling-2022/
    3 Jun 2024: Search. Statistical Modelling (Part II, Michaelmas 2022). 2022-09-30. General information. This course consists of 16 lectures and 8 practical sessions. It complements the Part II Principles of Statistics, but takes a more applied perspective.
  19. Sensitivity Analysis | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/sensitivity-analysis/
    3 Jun 2024: Search. Sensitivity Analysis. A new approach to sensitivity analysis in linear SEMs using stochastic optimization and the $R2$-calculus. Sensitivity analysis is widely recognized as a critical step in an observational study but is seldom found in
  20. Multiple Testing | Qingyuan Zhao

    https://www.statslab.cam.ac.uk/~qz280/tag/multiple-testing/
    3 Jun 2024: Search. Multiple Testing. A constructive approach to selective risk control. Many modern applications require the use of data to both select the statistical tasks and make valid inference after selection. In this article, we provide a unifying
  21. Causal Inference with Observational Data: Common Designs and…

    https://www.statslab.cam.ac.uk/~qz280/teaching/siscer-2023/
    3 Jun 2024: Search. Causal Inference with Observational Data: Common Designs and Statistical Methods (2023). Course description. Observational studies are non-interventional empirical investigations of causal effects and are playing an increasingly vital role

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